Geospatial Data Analyst — ML Prep & Visualization

Grvty; Falls Church (VA); Hybrid; USD 110,000 - 150,000; Full time

Job summary

GRVTY seeks a Data Analyst to maintain data holdings, ensure data standards, and perform quantitative analysis to support ML model development and geospatial data curation. You will transform complex datasets into actionable insights and drive preprocessing productivity for mission outcomes.

The role requires strong analytical skills, experience with Python, R, SQL, GIS and Tableau, and the ability to communicate analytics to both technical and non-technical stakeholders.

Qualifications

• Active TS/SCI clearance
• Experience turning geospatial data into insights
• Experience with Python, R, SQL, GIS, Tableau
• Ability to communicate analytics to technical and non-technical audiences
• Nice to have AI/ML imagery exploitation experience

Responsibilities

• Enhance workflows and automate standard processes to boost preprocessing productivity
• Lead projects using advanced statistical techniques to derive insights from large, complex datasets
• Support data analytics, data cleaning, analyst workflows, and ETL transformation
• Apply analytics to answer intelligence questions and mission requirements
• Build lightweight tools to visualize data metrics and monitor preprocessing progress
• Ingest and rectify non-standard data for the Data Management Platform
• Create data dictionaries to track data table changes
• Provide data analysis for imagery curation effectiveness

Skills

Geospatial data analysis

Statistical analysis

Data preparation

Data visualization

ETL

Tools

Python

R

SQL

GIS

Tableau

Job description

GRVTY seeks a Data Analyst to maintain data holdings, ensure data standards, and perform quantitative analysis to support ML model development and geospatial data curation. You will transform complex datasets into actionable insights and drive preprocessing productivity for mission outcomes.

The role requires strong analytical skills, experience with Python, R, SQL, GIS and Tableau, and the ability to communicate analytics to both technical and non-technical stakeholders.